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A new method of association rules extraction based on SVM is proposed in this paper. The SVC and data description is used to analyze the sample data, and the obtained support vectors are used to get the association rules in this method. It takes advantage of the abilities of SVM sufficiently which can deal with limited samples, nonlinear data and have a good generalization performance. At the same...
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